Obesity amplifies effects of three risk alleles linked to NAFLD

An international study based at UT Southwestern Medical Center revealed a striking genetic-environmental interaction: Obesity significantly amplifies the effects of three gene variants that increase risk of nonalcoholic fatty liver disease (NAFLD) by different metabolic pathways.

NAFLD, which in its most serious form can lead to chronic liver disease (cirrhosis) and liver cancer, is a growing problem associated with the obesity epidemic. Despite intense study, the relationship between obesity and NAFLD had remained unresolved.

Of the three gene variants, or alleles, examined in this study, the strongest genetic-environmental interactions were found in the PNPLA3 gene variant, the first genetic cause of NAFLD ever identified. That variant was identified in The Dallas Heart Study, a longitudinal, multiethnic, population-based study directed by Dr. Helen Hobbs, co-senior author of the Nature Genetics study published online this week. Her scientific partner, Dr. Jonathan Cohen, a Professor of Internal Medicine, also is a senior author. The study's first author is Dr. Stefan Stender, a postdoctoral researcher from Copenhagen University Hospital working in the Department of Molecular Genetics and the Eugene McDermott Center for Human Growth and Development.

"While all obese individuals who have fatty liver disease would benefit from weight loss, our data suggest that those who have the risk allele in PNPLA3 are likely to benefit more," said Dr. Hobbs, Director of the McDermott Center, a Howard Hughes Medical Institute (HHMI) Investigator, and a Professor of Internal Medicine and Molecular Genetics.

The National Institutes of Health (NIH) describes NAFLD as one of the most common causes of liver disease in the United States. It estimates that 30 to 40 percent of U.S. adults have simple fatty liver, a buildup of fat in the liver without significant inflammation or cell damage. An estimated 3 to 12 percent of adults in the U.S. have a more serious form of NAFLD, called nonalcoholic steatohepatitis (NASH), a buildup of liver fat with inflammation and cell damage that can lead to cirrhosis and is associated with liver cancer.

Looking first at the accumulation of fat in the liver, the researchers found that the prevalence of fat buildup ranged from 9 percent in lean individuals who did not have a PNPLA3 risk allele to 84 percent in obese individuals with two copies of the risk allele - one from each parent. In lean individuals, the risk alleles had a detectable but modest effect on liver fat accumulation.

"If you are thin, then you are unlikely to have excess fat in your liver even if you have the PNPLA3 risk alleles," said Dr. Cohen, who has appointments in the Center for Human Nutrition and the McDermott Center and who holds the C. Vincent Prothro Distinguished Chair in Human Nutrition Research. "On the other hand, if you are obese and lack the variant, then there is a good chance that you won't have excess fat in your liver.

"But if you are obese and do have the variant - particularly if you have two copies of the variant - you are very likely to have excess fat in your liver," he said, adding that these findings may help resolve some puzzling aspects of the relationship between obesity and fatty liver disease.

"It was very clear from our initial studies that these genetic variations did not affect body fat content, so at first it appeared that the gene's effect was independent of obesity," Dr. Cohen said. "The relationship between the PNPLA3 variant, obesity, and fatty liver disease represents a classic example of a gene-environment interaction."

This gene-environment interaction also results in those individuals who have the PNPLA3 risk allele and are obese developing inflammation and fibrosis, two later stages of NAFLD, the researchers report.


The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Adolescent obesity linked to higher stroke risk in women, study finds